From 692847a8298c4b0c2c485f4b379c02498bbc5748 Mon Sep 17 00:00:00 2001
From: Daniel <mail@danielluedecke.de>
Date: Sun, 3 Dec 2023 13:55:40 +0100
Subject: [PATCH] lintr

---
 R/plot.parameters_brms_meta.R | 42 +++++++++++++++++------------------
 1 file changed, 21 insertions(+), 21 deletions(-)

diff --git a/R/plot.parameters_brms_meta.R b/R/plot.parameters_brms_meta.R
index f97e20d44..b16f052b6 100644
--- a/R/plot.parameters_brms_meta.R
+++ b/R/plot.parameters_brms_meta.R
@@ -19,45 +19,45 @@ data_plot.parameters_brms_meta <- function(x, data = NULL, normalize_height = TR
   }
 
   # summary
-  summary <- x[, 1:6]
-  summary$Parameter <- attributes(x)$cleaned_parameters
-  colnames(summary)[2] <- "Estimate"
-  summary$Estimate_CI <- sprintf(
+  datasummary <- x[, 1:6]
+  datasummary$Parameter <- attributes(x)$cleaned_parameters
+  colnames(datasummary)[2] <- "Estimate"
+  datasummary$Estimate_CI <- sprintf(
     "%.2f %s",
-    summary$Estimate,
+    datasummary$Estimate,
     insight::format_ci(
-      summary$CI_low,
-      summary$CI_high,
+      datasummary$CI_low,
+      datasummary$CI_high,
       ci = NULL,
       digits = 2,
       zap_small = TRUE
     )
   )
 
-  summary$Parameter <- factor(summary$Parameter, levels = rev(unique(summary$Parameter)))
-  colnames(summary)[match("Parameter", colnames(summary))] <- "Study"
+  datasummary$Parameter <- factor(datasummary$Parameter, levels = rev(unique(datasummary$Parameter)))
+  colnames(datasummary)[match("Parameter", colnames(datasummary))] <- "Study"
 
-  summary$x <- NA_real_
-  summary$y <- NA_real_
-  summary$Color <- "Study"
-  summary$Color[summary$Study == "Overall"] <- "Overall"
+  datasummary$x <- NA_real_
+  datasummary$y <- NA_real_
+  datasummary$Color <- "Study"
+  datasummary$Color[datasummary$Study == "Overall"] <- "Overall"
 
   if ("ROPE_low" %in% names(x) && "ROPE_high" %in% names(x)) {
-    attr(summary, "rope") <- c(x$ROPE_low[1], x$ROPE_high[1])
+    attr(datasummary, "rope") <- c(x$ROPE_low[1], x$ROPE_high[1])
   }
 
   dataplot <- dataplot[dataplot$Study != "tau", ]
-  summary <- summary[summary$Study != "tau", ]
+  datasummary <- datasummary[datasummary$Study != "tau", ]
 
   dataplot$Study <- droplevels(dataplot$Study)
-  summary$Study <- droplevels(summary$Study)
+  datasummary$Study <- droplevels(datasummary$Study)
 
   dataplot$Group <- "Study"
   dataplot$Group[dataplot$Study == "Overall"] <- "Overall"
   dataplot$Color <- "Study"
   dataplot$Color[dataplot$Study == "Overall"] <- "Overall"
 
-  attr(dataplot, "summary") <- summary
+  attr(dataplot, "summary") <- datasummary
   attr(dataplot, "info") <- list(
     xlab = "Standardized Mean Difference",
     ylab = NULL,
@@ -164,7 +164,7 @@ plot.see_parameters_brms_meta <- function(x,
     x <- data_plot(x, data = model, normalize_height = normalize_height, ...)
   }
 
-  summary <- attributes(x)$summary
+  datasummary <- attributes(x)$summary
   rope <- attributes(summary)$rope
 
   p <- ggplot2::ggplot(x, mapping = ggplot2::aes(x = .data$x, y = .data$Study, height = .data$y))
@@ -192,7 +192,7 @@ plot.see_parameters_brms_meta <- function(x,
       alpha = posteriors_alpha
     ) +
     ggplot2::geom_errorbarh(
-      data = summary,
+      data = datasummary,
       mapping = ggplot2::aes(
         xmin = .data$CI_low,
         xmax = .data$CI_high,
@@ -201,7 +201,7 @@ plot.see_parameters_brms_meta <- function(x,
       linewidth = size_line
     ) +
     ggplot2::geom_point(
-      data = summary,
+      data = datasummary,
       mapping = ggplot2::aes(x = .data$Estimate, color = .data$Color),
       size = size_point,
       fill = "white",
@@ -229,7 +229,7 @@ plot.see_parameters_brms_meta <- function(x,
 
     p <- p +
       ggplot2::geom_text(
-        data = summary,
+        data = datasummary,
         mapping = ggplot2::aes(label = .data$Estimate_CI, x = Inf),
         hjust = "inward",
         size = size_text